MK

Marcus Kittelson

Software Engineering @ UCalgary. Fast learner with strong presentation skills; analyze data and economic trends, surface insights, and present them clearly. I build data tools, ML-adjacent systems, and high-signal automation. Website intentionally minimal.

Selected Work

NuVista Energy

Development & Planning Engineering Intern · May 2024 – Present

Engineering
  • Python → Spotfire automations: reduced well-planning from ~64h → ~2h.
  • Hydraulic fracturing design & sequencing on $10M+ programs.
  • SQL/Spotfire ops dashboards over 1.7M+ datapoints/day.

Tardigrade Ltd. - Capstone

Database & Algorithmic Trading Systems · Sept 2025 – Present

Capstone
  • High-throughput market data pipeline handling 100M+ datapoints/month.
  • Python-based ML error/anomaly detection → query-time reduction & increased data accuracy.

M2M Tech

Machine Learning & Data Science Intern · May 2023 – Aug 2023

ML

Applied ML for predictive analytics & automation (government-sponsored).

HBO - The Last of Us

On-Set Safety & Network Ops Assistant · Jul 2021 – Jun 2022

Operations

Dynamic, fast-paced production environment; including 80+ hour week and night shifts performing a variety of safety tasks.

Education

B.Sc. Software Engineering

UCalgary
  • GPA: 3.94
  • Dean’s List
  • Co-op program
  • Entrepreneurship Certificate

ML Specialization - Certificate

Stanford Online

Completed advanced coursework in supervised and unsupervised learning, regression and classification models, neural networks, recommender systems, and practical model-evaluation workflows.

Hackathons

Competitions

Participant in local and global hackathons, achieving podium success in both.

Technical Stack

Python
SQL
Spotfire
PostgreSQL
MySQL
C / C++
PyTorch
Java
HTML & CSS
TensorFlow
Docker
TypeScript / JavaScript
React
MongoDB
Google Cloud Platform
AWS (EC2, S3, Lambda)
Firebase
Kubernetes
Node.js
RISC-V Assembly
BigQuery
MATLAB
This site was originally built for my drone consulting business and has been repurposed as a personal CV site. Fully built in HTML & CSS/JS using math-only visuals - no React or heavy frameworks.